In June 2025, Texas signed the Responsible Artificial Intelligence Governance Act into law, outlining statutory requirements for the state’s use of AI. In response to this, the Texas Department of Transportation (TxDOT) released an updated Artificial Intelligence Strategic Plan in January 2026.

The Air Force (DAF) has been aggressively pushing for the modernization of its networks, legacy systems, and software; in line with these efforts is an equally robust acquisition overhaul designed to speed up procurement of everything it buys, from weapon systems to cloud services and digital applications. For IT companies, this shift is creating new opportunities but also means new expectations, greater competition, and challenges. 

In mid-March, AFCEA NOVA hosted the Naval IT Day in Chantilly, Virginia with the core message on how Navy and Marine Corps digital priorities are enabling the naval force. The message was clear, IT is not just a necessary function, it is a mission-critical warfighting capability.

In early March, the White House released the National Cybersecurity Strategy, outlining a six-pillar framework designed to guide federal cyber policy, investment, and operational priorities over the coming years.

During this year’s Smart Cities Connect Conference and Expo in Raleigh, NC, one topic garnered considerable attention: AI. Within many city governments, AI is past experimentation and has moved into production. In 2026, city IT leaders are prioritizing  safe, secure, and data-driven AI deployments that deliver measurable outcomes in mobility, public safety, infrastructure management, and climate resilience.

However, as cities move toward operational AI, challenges exist around data readiness, governance, and integration across departments.

In 2023, California Governor Gavin Newsom signed Executive Order N-12-23, directing state government institutions to utilize AI. These state entities are now beginning to move from the theoretical planning phase into the deployment phase with concrete plans.

The Golden Fleet, a US Navy initiative introduced by the administration in December of 2025, aims to revitalize the US shipbuilding industry, develop and sustain a new class of naval fleet and change how it does business to rapidly address maritime threats, particularly from China, in the Indo-Pacific region. The first frigate is planned for full operation in 2028.

If you’ve been part of the defense industrial base (DIB) or are looking to support the DoW, it should come as no surprise that AI is now seeing actionable impact in day-to-day operations. Strategically, AI is essential in warfighting decision-making, analyzing data and enhancing operational logistics. The Army in particular has started incorporating AI solutions across a number of elements outlined below, on the heels of several new strategy announcements and initiatives.

In early February, Chief of Naval Operations Admiral Daryl Caudle unveiled the details of the US Navy’s 2026 Hedge Strategy. As the Navy is facing a great power competition, rapid technological change and strain on the defense industrial base, it is critical to adapt an innovative operational and strategic approach to maintain adversarial advantage. The strategy shifts away from dominance by mass towards a risk-balanced operational approach that has asymmetric, combat-ready capability. In other words, they are “hedging their bets” on more tailored capabilities and nimble operations.

At WEST this year, Department of the Navy leaders signaled a clear shift in modernization priorities: the debate is no longer about adopting emerging technology or drafting strategy documents. Instead, we’re seeing operational speed, how quickly the Navy can field capability, integrate systems and make decisions, become the objective. Across sessions on shipbuilding, acquisition transformation, AI, Zero Trust and maritime force design, the recurring theme was speed matters most.